Q10 CH32 Qualitative Analysis

goal of qual analysis

understand ways ppl find meaning in their exp. + develop themes + theories that explain phenomena

inquiry approach used for qual - process in detail

naturalistic

has several rounds of data collection, analysis, interpretation → preliminary themes/theories in 1 round form data in the next round

when stop data collection in qual research

data saturation reached + new data no longer provides new info

qual v quan analytic approaches - diff goals, data types, data collection approach, data analysis approach

quantitative:

• goal: predict

• data types: observable

• data collection: formal, impersonal, detached

• analysis approach: deductive (theory driven) uses data to test theories + reductionist

qualitative:

• goal: understand

• data types: attributed meanings - opinions + narratives

• collection approach: informal, personal, reflexive

• analysis: inductive (data driven) use data to generate theories + holistic

key steps of deductive reasoning

logical inferences based on facts

conclusions assumed to be certain

key steps of inductive reasoning

inferences based on observations

conclusions are best guesses

constant comparision

qual data collected/analyzed @ same time

content analysis

categorizing textual data (documents, speeches, photographs, etc.)

narrative analysis

seeks to understand personal stories - focuses on story’s content, structure, themes, communication goals

interpretative phenomenological analysis (IPA)

understand ppl’s unique experiences ab a phenomenon → aims to offer insights into how someone makes sense of smth

thematic analysis

body of data → grouped according to similarities (themes AND patterns) - derives meaning from them

process that projects applying grounded theory typically go thru

1) collect data

2) transcribing interview

3) assigning initial codes

4) identify categories

5) identify themes

6) develop theory - summarize findings

qual analysis process- linear?

has several cycles of collection, analysis, and additional stuff NOT LINEAR

coding

aka indexing - use of words/short phrases to short summarize contents, attitudes, processes, or other aspects of each item in a transcript

code

label attached to word/phrase

a priori codes

aka preset codes - developed before start of data analysis

emergent codes

aka emerging themes - concepts identified during early stages of qual analysis + assigned label/code that describes them

category

group of related codes

pattern coding

groups codes into limited number of categories

focused coding

identifies most frequent + important categories

theme

concept encompassing 1+ categories

axial coding

1 core categoryphenomenon + several related categories that express major/minor themes of the analysis

CAQDAS programs

aka computer assisted qual data analysis software - process of coding/categorizing qual data

coding

line by line read of a doc - segmented into meaningful units able to be coded

codebook

masterlist of all codes generated/revised w rounds of coding

intercoder reliability

multiple coders code data consistently

4 main qual analysis software programs

dedoose

NVivo

Atlas.Ti

MAXQDA